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机构地区:[1]华中科技大学,武汉430074
出 处:《微电机》2006年第5期6-9,12,共5页Micromotors
摘 要:介绍了一种基于降价扩展卡尔曼滤波(EKF)的转子电阻在线辨识算法,并将其应用于基于模型参考自适应(MRAS)的无速度传感器直接磁场定向矢量控制系统。通过在MAT- LAB中建立模型进行仿真,分析了转子电阻变化对转速估算的影响,验证了算法的有效性。仿真结果表明,经过对电机转子电阻的辨识和补偿,转速估算的精度和稳定性都有较大改善。A rotor resistance identification method based on a reduced-order extended kalman filter (EKF) was introduced and was adopted in a model reference adaptive system (MRAS) based speed sensor-less direct field oriented control system. The validity of proposed methods was testified though MATLAB simulation. The influence caused by rotor resistance variation has been analyzed. Results show that by adopting the rotor resistance identification and compensation, the precision and stability of the speed estimation were greatly improved.
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